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Internal model - Quantitative Analyst - Shropshire, United Kingdom,

£27-40k

If you are a graduate with at least a 2:1 degree (numerate) and 3+ years working experience in life actuarial, risk management, financial modelling or relevant academic research areas, then this role might be of interest to you.

Role purpose:

  • Maintain document models and EUAs relating to the Partial Internal Model in conjunction with the rest of the team which consists of a combination of Actuaries, Actuarial Analysts and external users

Responsibilities:

  • Build, test and maintain statistical and financial models for use in the internal model
  • Define Triggers and Monitor Data Quality to ensure that the model structure and calibration is appropriate
  • Perform stochastic simulations to calculate capital and solvency for a range of business initiatives
  • Perform advanced statistical hypothesis testing to support internal model calibration
  • Investigate Machine Learning and Data Mining methods to detect and understand trends and serial correlations in complex financial data
  • Develop into a knowledge expert in Matlab and R. Actively promote the use of these tools in the business
  • Develop interactive and robust End User Applications (EUA) that perform key tasks and automate processes for data collection, preparation and testing

Required skills and knowledge:

  • Mathematical aptitude ideally in probability and statistics
  • Able to develop models across a diverse variety of subjects with an attention to detail
  • Ability to be flexible and work in high pressure environments
  • Ability to create demonstrably correct and auditable results
  • Good communications skills and ability to build relationships with business stakeholders
  • Skills in MS Word, Outlook and Excel
  • Experience in Risk Modelling, Economic capital management and programming
  • Experience coding statistical software such as Matlab and R (desirable)
  • Experience of financial modelling or coding and development for academic applications (desirable)